SQL Between Dates

Galaxy Glossary

How do I filter data based on a date range in SQL?

The `BETWEEN` operator in SQL allows you to select rows where a value falls within a specific range, including the start and end points. It's particularly useful for filtering data based on dates.

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Description

The `BETWEEN` operator is a convenient way to select rows from a table where a date or other numerical value lies within a specified range. It's a concise alternative to using comparison operators like `>=` and `<=` to define the range. This operator is crucial for tasks like finding all orders placed between specific dates, or identifying all employees hired within a particular time frame. It simplifies the query and improves readability, making your SQL code easier to understand and maintain. Using `BETWEEN` directly specifies the inclusive range, which is often the desired behavior when working with dates. For example, if you want to find all orders placed between January 1, 2023, and January 31, 2023, you can use `BETWEEN` to directly specify this range in your query.

Why SQL Between Dates is important

The `BETWEEN` operator simplifies date range filtering, making SQL queries more readable and maintainable. It's a standard SQL feature used extensively in data analysis and reporting.

SQL Between Dates Example Usage


-- Create a sample table
CREATE TABLE Products (
    ProductID INT PRIMARY KEY,
    ProductName VARCHAR(255),
    Price DECIMAL(10, 2)
);

-- Insert some data
INSERT INTO Products (ProductID, ProductName, Price)
VALUES
(1, 'Laptop', 1200.00),
(2, 'Mouse', 25.00),
(3, 'Keyboard', 75.00);

-- Add a new column to store the product's category
ALTER TABLE Products
ADD COLUMN Category VARCHAR(50);

-- Update the category for existing products
UPDATE Products
SET Category = 'Electronics'
WHERE ProductID = 1;
UPDATE Products
SET Category = 'Peripherals'
WHERE ProductID IN (2, 3);

-- Verify the addition
SELECT * FROM Products;

Common Mistakes

Want to learn about other SQL terms?

With Cte In SQL

Common Table Expressions (CTEs) are temporary, named result sets defined within a single SQL statement. They enhance query readability and reusability by breaking down complex queries into smaller, manageable parts.

Where Vs Having SQL

WHERE and HAVING are both used for filtering data in SQL, but they operate on different levels. WHERE filters rows before any aggregation, while HAVING filters groups after aggregation.

Windows Functions In SQL

Window functions in SQL perform calculations over a set of rows related to the current row, unlike aggregate functions which summarize data across all rows. They are powerful tools for analyzing data within a specific context.

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